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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
91

PSA testing, seasonal variation and relations to media in terms of prostate cancer

Eriksson, Linnéa January 2019 (has links)
No description available.
92

Design-based and Model-assisted estimators using Machine learning methods : Exploring the k-Nearest Neighbor metod applied to data from the Recreational Fishing Survey

Gard, Rikard January 2019 (has links)
No description available.
93

On Curved Exponential Families

Angetun, Emma January 2019 (has links)
No description available.
94

Estimation of the common mean of two normal disributions

Yuan, Shi-Hwa January 2010 (has links)
Typescript (photocopy). / Digitized by Kansas Correctional Industries
95

Non-parametric Estimation of the Effect of Financial Crisis on Swedish Local Governments Debt Maturity Structures

Ehtasham Billah, Mohammad January 2019 (has links)
No description available.
96

Kvantifiering av svenska elevers attityd till matematik : En studie av indexkonstruktionens betydelse

Annersten, Filippa January 2017 (has links)
No description available.
97

A data-driven bandwidth selector for estimating conditional density function.

January 2003 (has links)
Yim Tsz-ho. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2003. / Includes bibliographical references (leaves 47-49). / Abstracts in English and Chinese. / Abstract --- p.i / Acknowledgement --- p.iii / Chapter 1 --- Introduction --- p.1 / Chapter 2 --- Local Polynomial Modeling --- p.4 / Chapter 2.1 --- Local Polynomial Fitting --- p.4 / Chapter 2.1.1 --- Methodology --- p.4 / Chapter 2.1.2 --- The kernel K --- p.6 / Chapter 2.1.3 --- The bandwidth h --- p.7 / Chapter 2.1.4 --- The order p --- p.10 / Chapter 2.2 --- Estimation of Conditional Density --- p.11 / Chapter 3 --- Bandwidth Selection --- p.14 / Chapter 3.1 --- Rule of Thumb --- p.14 / Chapter 3.2 --- Bootstrap Bandwidth Selection --- p.15 / Chapter 3.3 --- A Cross-Validation Method --- p.16 / Chapter 4 --- A Theoretical Justification --- p.18 / Chapter 4.1 --- Proof of (4.1) --- p.19 / Chapter 4.2 --- Proof of (4.2) --- p.22 / Chapter 5 --- Simulation Studies --- p.25 / Chapter 6 --- Real Data Applications --- p.38 / Chapter 6.1 --- Case Study With Canadian Lynx Data.............................. --- p.38 / Chapter 6.2 --- Case Study With U.S. Twelve-Month Treasury Bill Data.......... --- p.41 / Chapter 7 --- Conclusions --- p.45 / Bibliography --- p.47
98

Type 1 error rate and significance levels when using GARCH-type models

Gyldberg, Ellinor, Bark, Henrik January 2019 (has links)
The purpose of this thesis is to test whether the probability of falsely rejecting a true null hypothesis of a model intercept being equal to zero is consistent with the chosen significance level when modelling the variance of the error term using GARCH (1,1), TGARCH (1,1) or IGARCH (1,1) models. We test this by estimating “Jensen’s alpha” to evaluate alpha trading, using a Monte Carlo simulation based on historical data from the Standard & Poor’s 500 Index and stocks in the Dow Jones Industrial Average Index. We evaluate over simulated daily data ranging over periods of 3 months, 6 months, and 1 year. Our results indicate that the GARCH and IGARCH consistently reject a true null hypothesis less often than the selected 1%, 5%, or 10%, whereas the TGARCH consistently rejects a true null more often than the chosen significance level. Thus, there is a risk of incorrect inferences when using these GARCH-type models.
99

The efficiency of the Swedish stock market : An empirical evaluation of all stocks listed on the OMX30

Lönnquist, Anders January 2019 (has links)
No description available.
100

Yield curve forecasting using macroeconomic proxy variables

Sundberg, David January 2019 (has links)
No description available.

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